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Full Stack Engineer

1 month ago

Gurugram, India Material Full time
Job Title: Full Stack Data Engineer
Location: Gurugram, Haryana
Experience: 4–10 Years
Notice Period: Immediate to 30 Days
Employment Type: Full-time
Key Skills :- Python , SQL , React and AWS Glue
Job Overview:
We are seeking a Full Stack Data Engineer with expertise in Python, ReactJS, PostgreSQL, AWS OpenSearch, and Data Engineering fundamentals. The ideal candidate will play a key role in designing and implementing data pipelines, integrating AI/ML models, and building frontend data visualizations . You will work on ETL processes, API development, and cloud-based solutions using AWS Glue while ensuring seamless CI/CD deployment.
Key Responsibilities:
Develop and maintain scalable data pipelines using AWS Glue, ETL processes, and PostgreSQL .
Build and optimize APIs for data retrieval and transformation.
Design and implement frontend data visualizations using ReactJS .
Work on AI/ML model integration , ensuring efficient deployment and performance.
Set up and manage AWS OpenSearch for data indexing and search capabilities.
Implement CI/CD pipelines using GitHub Actions, Docker, and Kubernetes for seamless deployments.
Collaborate with data scientists, engineers, and stakeholders to deliver scalable data solutions.
Ensure system security, scalability, and performance optimization.
Required Skills & Qualifications:
✅ Strong proficiency in Python for backend and data engineering tasks.
✅ Hands-on experience with ReactJS for building frontend applications with data visualization .
✅ Expertise in PostgreSQL , including query optimization and database design.
✅ Experience with API development (RESTful, GraphQL).
✅ Knowledge of AWS OpenSearch for data indexing and search.
✅ Strong understanding of Data Engineering , including ETL pipelines and AWS Glue .
✅ Experience with AI/ML model integration within data workflows.
✅ Proficiency in CI/CD pipelines using GitHub Actions, Docker, and Kubernetes .
✅ Excellent problem-solving skills and ability to optimize system performance.
Preferred Qualifications:
➤ Experience with real-time data processing and streaming technologies .
➤ Familiarity with big data technologies (Spark, Kafka, etc.) .
➤ Understanding of cloud security best practices .
➤ Prior experience working in agile development environments .
Why Join Us?
✨ Work on cutting-edge data-driven applications .
✨ Dynamic and collaborative work environment.
✨ Competitive salary and benefits package.
✨ Learning and growth opportunities in data engineering, cloud technologies, and AI/ML .